Finally, for the chest X-ray segmentation task, we used the Montgomery County chest X-ray dataset (MC) [1]}https://lhncbc.nlm.nih.gov/LHC-downloads/downloads.html. This is a lung segmentation dataset consisting of 138 frontal chest X-ray images. The dataset was acquired by the Montgomery County tuberculosis program in Maryland, USA. It has 58 tuberculosis and 80 normal cases covering a wide range of abnormalities. A Eureka stationary X-ray machine was used to acquire the images, yielding high-resolution imagery of either \(4,020\times 4,892\)  or \(4,892\times 4,020\)  pixels.
